---------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/anja.neundorf/Library/CloudStorage/Dropbox/
> Project_Populism/Vox/Analysis/Replication/Main analyses.log
  log type:  text
 opened on:  21 Mar 2024, 14:59:37

.  
. 
. *** SET DIRECTORY WHERE FILES ARE SAVED. THIS NEEDS TO BE CHA
> NGED!!!
. 
. global          main "/Users/anja.neundorf/Library/CloudStora
> ge/Dropbox/Project_Populism/Vox/Analysis/Replication"

. 
. global results "${main}/tables/"

. global          graphs                  "${main}/graphs/"

. 
. cd "${main}"
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication

. 
. 
. ** Recode raw data
. do "Vox_DataPrep.do" 

. *********************************
. *** JOP paper: Historical memory and radical right voting: VO
> X and the legacy of Francoism
. *** Anja Neundorf and Sergi Pardos Prado
. *** Do-file: DATA PREPERATION
. *** Created: 21/02/2022
. *** Last updated: 21/03/2024
. 
. use VoxData.dta

. 
. ** -----------
. * Dropping cases that did not give consent
. tab1 consent_nonAmazon consent_Amazon150 consent_Amazon10

-> tabulation of consent_nonAmazon_  

consent ad1 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |      4,593       99.48       99.48
         No |         24        0.52      100.00
------------+-----------------------------------
      Total |      4,617      100.00

-> tabulation of consent_Amazon150_  

consent ad2 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |        435       99.54       99.54
         No |          2        0.46      100.00
------------+-----------------------------------
      Total |        437      100.00

-> tabulation of consent_Amazon10  

consent ad3 |      Freq.     Percent        Cum.
------------+-----------------------------------
         Sí |        300       99.01       99.01
         No |          3        0.99      100.00
------------+-----------------------------------
      Total |        303      100.00

. tab1 consent_nonAmazon consent_Amazon150 consent_Amazon10, no
> label

-> tabulation of consent_nonAmazon_  

consent ad1 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      4,593       99.48       99.48
          2 |         24        0.52      100.00
------------+-----------------------------------
      Total |      4,617      100.00

-> tabulation of consent_Amazon150_  

consent ad2 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        435       99.54       99.54
          2 |          2        0.46      100.00
------------+-----------------------------------
      Total |        437      100.00

-> tabulation of consent_Amazon10  

consent ad3 |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        300       99.01       99.01
          2 |          3        0.99      100.00
------------+-----------------------------------
      Total |        303      100.00

. 
. drop if consent_nonAmazon==2 | consent_Amazon150==2 | consent
> _Amazon10==2 
(29 observations deleted)

. 
. ** -----------
. ** Setting all Don't knows to missings 
. mvdecode _all, mv(999=.)
      gender: 58 missing values generated
         age: 3 missing values generated
   education: 11 missing values generated
      region: 7 missing values generated
       ptv_1: 77 missing values generated
       ptv_2: 55 missing values generated
       ptv_3: 55 missing values generated
       ptv_4: 59 missing values generated
       ptv_5: 66 missing values generated
      polint: 36 missing values generated
    t0_prado: 53 missing values generated
    t5_union: 26 missing values generated
    t4_femin: 21 missing values generated
    t3_immig: 26 missing values generated
  t2_catalan: 50 missing values generated
   t1_franco: 28 missing values generated
donate_n~150: 242 missing values generated
donate_no~10: 297 missing values generated
donate_am~10: 43 missing values generated
donate_a~150: 82 missing values generated
     dembest: 124 missing values generated
      demimp: 45 missing values generated
 nationalism: 85 missing values generated
    imm_econ: 132 missing values generated
      income: 238 missing values generated
utm_campaign: string variable ignored
   treatment: string variable ignored

. 
. 
. ** -----------------------
. ** Recode PTV variables
. 
. corr ptv_2 ptv_3
(obs=4,711)

             |    ptv_2    ptv_3
-------------+------------------
       ptv_2 |   1.0000
       ptv_3 |   0.5149   1.0000


. 
. * PSOE
. gen psoe_sup = 0

. replace psoe_sup = 1 if ptv_1>5
(2,189 real changes made)

. replace psoe_sup = . if ptv_1==.
(612 real changes made, 612 to missing)

. 
. * PP
. gen pp_sup = 0

. replace pp_sup = 1 if ptv_2>5
(1,519 real changes made)

. replace pp_sup = . if ptv_2==.
(590 real changes made, 590 to missing)

. 
. 
. * Ciudadanos
. gen ciu_sup = 0 

. replace ciu_sup = 1 if ptv_4>5
(1,017 real changes made)

. replace ciu_sup = . if ptv_4==.
(594 real changes made, 594 to missing)

. 
. * Podemos
. gen pod_sup = 0

. replace pod_sup = 1 if ptv_5>5
(2,651 real changes made)

. replace pod_sup = . if ptv_5==.
(601 real changes made, 601 to missing)

. 
. * VOX
. gen vox_sup = 0

. replace vox_sup = 1 if ptv_3>5 
(1,744 real changes made)

. replace vox_sup = . if ptv_3==.
(590 real changes made, 590 to missing)

. 
. tab  vote2019 vox_sup

     Vote recall 2019 |        vox_sup
     general election |         0          1 |     Total
----------------------+----------------------+----------
Partido Socialista Ob |       889         37 |       926 
 Partido Popular (PP) |       231        286 |       517 
                  Vox |        36        608 |       644 
       Unidas Podemos |     1,473          7 |     1,480 
           Ciudadanos |       150         65 |       215 
Esquerra Republicana  |        19          1 |        20 
Junts per Catalunya ( |         3          1 |         4 
Partido Nacionalista  |         1          1 |         2 
Euskal Herria Bildu ( |        11          1 |        12 
   Coalició Compromis |       120          0 |       120 
   Navarra Suma (NA+) |         0          1 |         1 
                 Otro |       234         12 |       246 
              No voté |       355        115 |       470 
----------------------+----------------------+----------
                Total |     3,522      1,135 |     4,657 

. tab  ptv_3 vox_sup

             |        vox_sup
    PTV: VOX |         0          1 |     Total
-------------+----------------------+----------
   1 - nunca |     3,163          0 |     3,163 
           2 |       133          0 |       133 
           3 |        70          0 |        70 
           4 |        62          0 |        62 
           5 |       163          0 |       163 
           6 |         0         96 |        96 
           7 |         0        151 |       151 
           8 |         0        199 |       199 
           9 |         0        254 |       254 
10 - siempre |         0        454 |       454 
-------------+----------------------+----------
       Total |     3,591      1,154 |     4,745 

. 
. tab  pp_sup vox_sup, col

+-------------------+
| Key               |
|-------------------|
|     frequency     |
| column percentage |
+-------------------+

           |        vox_sup
    pp_sup |         0          1 |     Total
-----------+----------------------+----------
         0 |     3,209        595 |     3,804 
           |     89.86      52.19 |     80.75 
-----------+----------------------+----------
         1 |       362        545 |       907 
           |     10.14      47.81 |     19.25 
-----------+----------------------+----------
     Total |     3,571      1,140 |     4,711 
           |    100.00     100.00 |    100.00 

. 
. gen vox_sup_right = 0 if pp_sup==1 | ciu_sup==1
(4,225 missing values generated)

. replace vox_sup_right = 1 if ptv_3>5 
(1,744 real changes made)

. replace vox_sup_right = . if ptv_3==.
(590 real changes made, 590 to missing)

. 
. tab vox_sup_right

vox_sup_rig |
         ht |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |        502       30.31       30.31
          1 |      1,154       69.69      100.00
------------+-----------------------------------
      Total |      1,656      100.00

. 
. 
. ** Look at all parties
. 
. tab1 psoe_sup pp_sup vox_sup ciu_sup pod_sup

-> tabulation of psoe_sup  

   psoe_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,146       66.61       66.61
          1 |      1,577       33.39      100.00
------------+-----------------------------------
      Total |      4,723      100.00

-> tabulation of pp_sup  

     pp_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,816       80.42       80.42
          1 |        929       19.58      100.00
------------+-----------------------------------
      Total |      4,745      100.00

-> tabulation of vox_sup  

    vox_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      3,591       75.68       75.68
          1 |      1,154       24.32      100.00
------------+-----------------------------------
      Total |      4,745      100.00

-> tabulation of ciu_sup  

    ciu_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      4,318       91.08       91.08
          1 |        423        8.92      100.00
------------+-----------------------------------
      Total |      4,741      100.00

-> tabulation of pod_sup  

    pod_sup |      Freq.     Percent        Cum.
------------+-----------------------------------
          0 |      2,684       56.70       56.70
          1 |      2,050       43.30      100.00
------------+-----------------------------------
      Total |      4,734      100.00

. 
. 
. ** -----------------------
. ** Recode vote variables
. 
. tab vote2019, gen(vote_)

      Vote recall 2019 general election |      Freq.     Percen
> t        Cum.
----------------------------------------+----------------------
> -------------
Partido Socialista Obrero Español (PSOE |        932       19.8
> 1       19.81
                   Partido Popular (PP) |        533       11.3
> 3       31.14
                                    Vox |        647       13.7
> 5       44.90
                         Unidas Podemos |      1,481       31.4
> 8       76.38
                             Ciudadanos |        222        4.7
> 2       81.10
Esquerra Republicana de Catalunya (ERC) |         20        0.4
> 3       81.53
            Junts per Catalunya (JxCat) |          4        0.0
> 9       81.61
       Partido Nacionalista Vasco (PNV) |          2        0.0
> 4       81.65
              Euskal Herria Bildu (EHB) |         12        0.2
> 6       81.91
                     Coalició Compromis |        120        2.5
> 5       84.46
                     Navarra Suma (NA+) |          2        0.0
> 4       84.50
                                   Otro |        250        5.3
> 1       89.82
                                No voté |        479       10.1
> 8      100.00
----------------------------------------+----------------------
> -------------
                                  Total |      4,704      100.0
> 0

. tab vote2019, nolabel

Vote recall |
       2019 |
    general |
   election |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        932       19.81       19.81
          2 |        533       11.33       31.14
          3 |        647       13.75       44.90
          4 |      1,481       31.48       76.38
          5 |        222        4.72       81.10
          6 |         20        0.43       81.53
          7 |          4        0.09       81.61
          8 |          2        0.04       81.65
          9 |         12        0.26       81.91
         10 |        120        2.55       84.46
         12 |          2        0.04       84.50
         14 |        250        5.31       89.82
         16 |        479       10.18      100.00
------------+-----------------------------------
      Total |      4,704      100.00

. 
. gen vote_vox_right = 0 if vote2019==2 | vote2019==5
(4,580 missing values generated)

. replace vote_vox_right = 1 if vote2019==3
(647 real changes made)

. tab vote_vox_right vote2019

           |     Vote recall 2019 general
vote_vox_r |             election
      ight | Partido P        Vox  Ciudadano |     Total
-----------+---------------------------------+----------
         0 |       533          0        222 |       755 
         1 |         0        647          0 |       647 
-----------+---------------------------------+----------
     Total |       533        647        222 |     1,402 

. 
. ** -----------------------
. ** Recode Support treatment variables
. 
. tab treatment

  Treatment |      Freq.     Percent        Cum.
------------+-----------------------------------
    catalan |        762       16.36       16.36
      femin |        791       16.98       33.34
     franco |        744       15.97       49.31
      immig |        806       17.30       66.62
      prado |        802       17.22       83.83
      union |        753       16.17      100.00
------------+-----------------------------------
      Total |      4,658      100.00

. tab treatment, nolabel

  Treatment |      Freq.     Percent        Cum.
------------+-----------------------------------
    catalan |        762       16.36       16.36
      femin |        791       16.98       33.34
     franco |        744       15.97       49.31
      immig |        806       17.30       66.62
      prado |        802       17.22       83.83
      union |        753       16.17      100.00
------------+-----------------------------------
      Total |      4,658      100.00

. 
. tab1 t5_union t4_femin t3_immig t2_catalan t1_franco t0_prado

-> tabulation of t5_union  

   Support trade |
           union |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        255       35.08       35.08
               2 |         55        7.57       42.64
               3 |         70        9.63       52.27
               4 |        126       17.33       69.60
               5 |        103       14.17       83.77
6 - Máximo apoyo |        118       16.23      100.00
-----------------+-----------------------------------
           Total |        727      100.00

-> tabulation of t4_femin  

Support feminist |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        238       30.91       30.91
               2 |         56        7.27       38.18
               3 |         61        7.92       46.10
               4 |         85       11.04       57.14
               5 |        100       12.99       70.13
6 - Máximo apoyo |        230       29.87      100.00
-----------------+-----------------------------------
           Total |        770      100.00

-> tabulation of t3_immig  

         Support |
       immigrant |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        151       19.36       19.36
               2 |         46        5.90       25.26
               3 |         67        8.59       33.85
               4 |         99       12.69       46.54
               5 |        122       15.64       62.18
6 - Máximo apoyo |        295       37.82      100.00
-----------------+-----------------------------------
           Total |        780      100.00

-> tabulation of t2_catalan  

 Support Catalan |
    organization |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        358       50.28       50.28
               2 |         47        6.60       56.88
               3 |         77       10.81       67.70
               4 |         92       12.92       80.62
               5 |         78       10.96       91.57
6 - Máximo apoyo |         60        8.43      100.00
-----------------+-----------------------------------
           Total |        712      100.00

-> tabulation of t1_franco  

  Support Franco |
      foundation |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        537       75.00       75.00
               2 |         34        4.75       79.75
               3 |         50        6.98       86.73
               4 |         47        6.56       93.30
               5 |         16        2.23       95.53
6 - Máximo apoyo |         32        4.47      100.00
-----------------+-----------------------------------
           Total |        716      100.00

-> tabulation of t0_prado  

   Support Prado |
          Museum |      Freq.     Percent        Cum.
-----------------+-----------------------------------
1 - Mínimo apoyo |        130       17.36       17.36
               2 |         65        8.68       26.03
               3 |        105       14.02       40.05
               4 |        151       20.16       60.21
               5 |        148       19.76       79.97
6 - Máximo apoyo |        150       20.03      100.00
-----------------+-----------------------------------
           Total |        749      100.00

. 
. 
. gen support = .
(5,335 missing values generated)

. replace support = t5_union if treatment == "union"
(727 real changes made)

. replace support = t4_femin if treatment == "femin"
(770 real changes made)

. replace support = t3_immig if treatment == "immig"
(780 real changes made)

. replace support = t2_catalan if treatment == "catalan"
(712 real changes made)

. replace support = t1_franco if treatment == "franco"
(716 real changes made)

. replace support = t0_prado if treatment == "prado"
(749 real changes made)

. 
. 
. tab support

    support |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      1,669       37.47       37.47
          2 |        303        6.80       44.27
          3 |        430        9.65       53.93
          4 |        600       13.47       67.40
          5 |        567       12.73       80.13
          6 |        885       19.87      100.00
------------+-----------------------------------
      Total |      4,454      100.00

. gen supp01 = (support-1)/5
(881 missing values generated)

. sum supp01 

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
      supp01 |      4,454    .4335878     .398587          0   
>        1

.  
. gen treat = .
(5,335 missing values generated)

. replace treat = 5 if treatment == "union"
(753 real changes made)

. replace treat = 4 if treatment == "femin"
(791 real changes made)

. replace treat = 3 if treatment == "immig"
(806 real changes made)

. replace treat = 2 if treatment == "catalan"
(762 real changes made)

. replace treat = 1 if treatment == "franco"
(744 real changes made)

. replace treat = 0 if treatment == "prado"
(802 real changes made)

. 
. 
. lab def treatlbl 0 "Prado" 1 "Franco" 2 "Catalan" 3 "Immigrat
> ion" 4 "Feminism" 5 "Unions"

. lab val treat treatlbl

. 
. tab treatment treat

           |              treat
 Treatment |     Prado     Franco    Catalan |     Total
-----------+---------------------------------+----------
   catalan |         0          0        762 |       762 
     femin |         0          0          0 |       791 
    franco |         0        744          0 |       744 
     immig |         0          0          0 |       806 
     prado |       802          0          0 |       802 
     union |         0          0          0 |       753 
-----------+---------------------------------+----------
     Total |       802        744        762 |     4,658 


           |              treat
 Treatment | Immigrati   Feminism     Unions |     Total
-----------+---------------------------------+----------
   catalan |         0          0          0 |       762 
     femin |         0        791          0 |       791 
    franco |         0          0          0 |       744 
     immig |       806          0          0 |       806 
     prado |         0          0          0 |       802 
     union |         0          0        753 |       753 
-----------+---------------------------------+----------
     Total |       806        791        753 |     4,658 

. 
. 
. ** -----------------------
. ** Recode behavioural outcome
. 
. tab1 donate_nonamazon150 donate_nonamazon10  donate_amazon150
>  donate_amazon10 donate_amount150__15 donate_amount10_15 dona
> te_amount175_15

-> tabulation of donate_nonamazon150  

     Donation from 150 |
         lottery prize |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |      1,416       81.33       81.33
Donaría algo de dinero |        325       18.67      100.00
-----------------------+-----------------------------------
                 Total |      1,741      100.00

-> tabulation of donate_nonamazon10  

      Donation from 10 |
         lottery prize |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |      1,331       77.65       77.65
Donaría algo de dinero |        383       22.35      100.00
-----------------------+-----------------------------------
                 Total |      1,714      100.00

-> tabulation of donate_amazon150  

     Donation from 150 |
        Amazon voucher |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |        195       72.49       72.49
Donaría algo de dinero |         74       27.51      100.00
-----------------------+-----------------------------------
                 Total |        269      100.00

-> tabulation of donate_amazon10  

      Donation from 10 |
        Amazon voucher |      Freq.     Percent        Cum.
-----------------------+-----------------------------------
       No donaría nada |        169       79.34       79.34
Donaría algo de dinero |         44       20.66      100.00
-----------------------+-----------------------------------
                 Total |        213      100.00

-> tabulation of donate_amount150__15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          2        0.63        0.63
       2.00 |          1        0.32        0.95
       3.00 |          2        0.63        1.58
       5.00 |          9        2.84        4.42
       7.00 |          2        0.63        5.05
       9.00 |          3        0.95        5.99
      10.00 |         12        3.79        9.78
      11.00 |          3        0.95       10.73
      12.00 |          5        1.58       12.30
      13.00 |          5        1.58       13.88
      14.00 |          6        1.89       15.77
      15.00 |         21        6.62       22.40
      16.00 |          5        1.58       23.97
      17.00 |          2        0.63       24.61
      18.00 |          1        0.32       24.92
      19.00 |          1        0.32       25.24
      20.00 |         22        6.94       32.18
      21.00 |          3        0.95       33.12
      22.00 |          1        0.32       33.44
      25.00 |          9        2.84       36.28
      26.00 |          2        0.63       36.91
      27.00 |          1        0.32       37.22
      28.00 |          8        2.52       39.75
      29.00 |          7        2.21       41.96
      30.00 |         33       10.41       52.37
      31.00 |          6        1.89       54.26
      32.00 |          3        0.95       55.21
      33.00 |          1        0.32       55.52
      35.00 |          5        1.58       57.10
      36.00 |          1        0.32       57.41
      37.00 |          1        0.32       57.73
      38.00 |          1        0.32       58.04
      39.00 |          1        0.32       58.36
      40.00 |          6        1.89       60.25
      41.00 |          1        0.32       60.57
      42.00 |          3        0.95       61.51
      43.00 |          3        0.95       62.46
      44.00 |          4        1.26       63.72
      45.00 |          8        2.52       66.25
      46.00 |          2        0.63       66.88
      48.00 |          2        0.63       67.51
      49.00 |          1        0.32       67.82
      50.00 |         27        8.52       76.34
      51.00 |          2        0.63       76.97
      52.00 |          1        0.32       77.29
      53.00 |          1        0.32       77.60
      54.00 |          2        0.63       78.23
      55.00 |          2        0.63       78.86
      56.00 |          1        0.32       79.18
      57.00 |          1        0.32       79.50
      58.00 |          1        0.32       79.81
      59.00 |          1        0.32       80.13
      60.00 |         16        5.05       85.17
      61.00 |          3        0.95       86.12
      62.00 |          1        0.32       86.44
      64.00 |          1        0.32       86.75
      65.00 |          2        0.63       87.38
      70.00 |          1        0.32       87.70
      72.00 |          1        0.32       88.01
      73.00 |          2        0.63       88.64
      74.00 |          3        0.95       89.59
      75.00 |          7        2.21       91.80
      76.00 |          3        0.95       92.74
      77.00 |          1        0.32       93.06
      81.00 |          1        0.32       93.38
      89.00 |          1        0.32       93.69
      97.00 |          1        0.32       94.01
     100.00 |          3        0.95       94.95
     104.00 |          1        0.32       95.27
     106.00 |          1        0.32       95.58
     115.00 |          1        0.32       95.90
     143.00 |          1        0.32       96.21
     149.00 |          1        0.32       96.53
     150.00 |         11        3.47      100.00
------------+-----------------------------------
      Total |        317      100.00

-> tabulation of donate_amount10_15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          1        0.24        0.24
       1.00 |         47       11.35       11.59
       2.00 |         84       20.29       31.88
       3.00 |         82       19.81       51.69
       4.00 |         38        9.18       60.87
       5.00 |         90       21.74       82.61
       6.00 |          6        1.45       84.06
       7.00 |          5        1.21       85.27
       8.00 |         13        3.14       88.41
      10.00 |         48       11.59      100.00
------------+-----------------------------------
      Total |        414      100.00

-> tabulation of donate_amount175_15  

   Donation |
exact euros |      Freq.     Percent        Cum.
------------+-----------------------------------
       0.00 |          1        1.54        1.54
       4.00 |          3        4.62        6.15
       5.00 |          1        1.54        7.69
       8.00 |          1        1.54        9.23
      10.00 |          5        7.69       16.92
      11.00 |          1        1.54       18.46
      12.00 |          1        1.54       20.00
      16.00 |          3        4.62       24.62
      18.00 |          1        1.54       26.15
      20.00 |          4        6.15       32.31
      22.00 |          1        1.54       33.85
      25.00 |          3        4.62       38.46
      28.00 |          1        1.54       40.00
      32.00 |          1        1.54       41.54
      34.00 |          1        1.54       43.08
      35.00 |          2        3.08       46.15
      38.00 |          1        1.54       47.69
      40.00 |          2        3.08       50.77
      41.00 |          1        1.54       52.31
      45.00 |          1        1.54       53.85
      50.00 |          8       12.31       66.15
      51.00 |          4        6.15       72.31
      52.00 |          1        1.54       73.85
      69.00 |          1        1.54       75.38
      70.00 |          4        6.15       81.54
      73.00 |          1        1.54       83.08
      75.00 |          3        4.62       87.69
      90.00 |          1        1.54       89.23
      99.00 |          1        1.54       90.77
     127.00 |          1        1.54       92.31
     153.00 |          1        1.54       93.85
     175.00 |          4        6.15      100.00
------------+-----------------------------------
      Total |         65      100.00

. 
. gen don = .
(5,335 missing values generated)

. replace don = donate_nonamazon150 if donate_nonamazon150!=.
(1,741 real changes made)

. replace don = donate_nonamazon10 if donate_nonamazon10!=.
(1,714 real changes made)

. replace don = donate_amazon150 if donate_amazon150!=.
(269 real changes made)

. replace don = donate_amazon10 if donate_amazon10!=.
(213 real changes made)

. 
. 
. recode don (1=0 "No donation") (2=1 "Donate money"), gen(dona
> te)
(3,937 differences between don and donate)

. drop don

. tab donate

   RECODE of |
         don |      Freq.     Percent        Cum.
-------------+-----------------------------------
 No donation |      3,111       79.02       79.02
Donate money |        826       20.98      100.00
-------------+-----------------------------------
       Total |      3,937      100.00

. 
. * Amount
. gen don_pc_10 = (donate_amount10_15 / 10)*100
(4,921 missing values generated)

. gen don_pc_150 = (donate_amount150__15 / 150)*100
(5,018 missing values generated)

. gen don_pc_175 = (donate_amount175_15 / 175)*100
(5,270 missing values generated)

. 
. sum don_pc_10 don_pc_150 don_pc_175

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
   don_pc_10 |        414    41.49758     26.6931          0   
>      100
  don_pc_150 |        317    26.69821     20.8982          0   
>      100
  don_pc_175 |         65    27.96484    25.11766          0   
>      100

. 
. gen amount_pc = .
(5,335 missing values generated)

. replace amount_pc = don_pc_10 if don_pc_10!=.
(414 real changes made)

. replace amount_pc = don_pc_150 if don_pc_150!=.
(317 real changes made)

. replace amount_pc = don_pc_175 if don_pc_175!=.
(65 real changes made)

. sum amount_pc

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
   amount_pc |        796     34.4988     25.4519          0   
>      100

. 
. gen amount150 = .
(5,335 missing values generated)

. replace amount150 = 0 if donate_amount10_15!=. 
(414 real changes made)

. replace amount150 = 1 if donate_amount150__15!=. | donate_amo
> unt175_15!=.
(382 real changes made)

. 
. ** -----------------------
. ** Recode observed outcomes
. 
. * democracy support
. 
. tab dembest

 Democracy preferred form of government |      Freq.     Percen
> t        Cum.
----------------------------------------+----------------------
> -------------
La democracia es preferible a cualquier |      3,797       88.9
> 4       88.94
En algunas circunstancias, un gobierno  |        337        7.8
> 9       96.84
Para las personas como yo, no importa s |        135        3.1
> 6      100.00
----------------------------------------+----------------------
> -------------
                                  Total |      4,269      100.0
> 0

. recode dembest (1=1) (2/3=0), gen(dembest_dum)
(472 differences between dembest and dembest_dum)

. tab dembest dembest_dum

                      |   RECODE of dembest
                      | (Democracy preferred
  Democracy preferred |  form of government)
   form of government |         0          1 |     Total
----------------------+----------------------+----------
La democracia es pref |         0      3,797 |     3,797 
En algunas circunstan |       337          0 |       337 
Para las personas com |       135          0 |       135 
----------------------+----------------------+----------
                Total |       472      3,797 |     4,269 

. recode dembest_dum (1=0) (0=1), gen(autoc_dum)
(4,269 differences between dembest_dum and autoc_dum)

. 
. 
. tab demimp

   How important to |
  live in democracy |      Freq.     Percent        Cum.
--------------------+-----------------------------------
 1 - Muy importante |      3,631       83.11       83.11
                  2 |        272        6.23       89.33
                  3 |        120        2.75       92.08
                  4 |        116        2.66       94.74
                  5 |         86        1.97       96.70
                  6 |         66        1.51       98.21
7 - Nada importante |         78        1.79      100.00
--------------------+-----------------------------------
              Total |      4,369      100.00

. gen demimp01 = (demimp-1)/6
(966 missing values generated)

. sum demimp01

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
    demimp01 |      4,369    .0763714    .2066111          0   
>        1

. 
. 
. * Immigration
. tab imm

    Attitude towards |
         immigration |      Freq.     Percent        Cum.
---------------------+-----------------------------------
 1 - Peor para vivir |        459       10.72       10.72
                   2 |        163        3.81       14.53
                   3 |        318        7.43       21.95
                   4 |        677       15.81       37.76
                   5 |        695       16.23       53.99
                   6 |        541       12.63       66.63
7 - Mejor para vivir |      1,429       33.37      100.00
---------------------+-----------------------------------
               Total |      4,282      100.00

. 
. * Populism
. tab1  Q14_1 Q14_4

-> tabulation of Q14_1  

   Agree with politicians need to |
        follow will of the people |      Freq.     Percent     
>    Cum.
----------------------------------+----------------------------
> -------
Estoy completamente en desacuerdo |        422        9.80     
>    9.80
     Tiendo a estar en desacuerdo |        137        3.18     
>   12.99
   Ni de acuerdo ni en desacuerdo |        189        4.39     
>   17.38
        Tiendo a estar de acuerdo |      1,068       24.81     
>   42.19
   Estoy completamente de acuerdo |      2,488       57.81     
>  100.00
----------------------------------+----------------------------
> -------
                            Total |      4,304      100.00

-> tabulation of Q14_4  

        Agree with people and not |
politicians should take important |
                        decisions |      Freq.     Percent     
>    Cum.
----------------------------------+----------------------------
> -------
Estoy completamente en desacuerdo |        541       12.62     
>   12.62
     Tiendo a estar en desacuerdo |        729       17.00     
>   29.62
   Ni de acuerdo ni en desacuerdo |        668       15.58     
>   45.21
        Tiendo a estar de acuerdo |      1,296       30.23     
>   75.44
   Estoy completamente de acuerdo |      1,053       24.56     
>  100.00
----------------------------------+----------------------------
> -------
                            Total |      4,287      100.00

. corr Q14_1 Q14_4
(obs=4,254)

             |    Q14_1    Q14_4
-------------+------------------
       Q14_1 |   1.0000
       Q14_4 |   0.3658   1.0000


. alpha Q14_1 Q14_4

Test scale = mean(unstandardized items)

Average interitem covariance:     .6211008
Number of items in the scale:            2
Scale reliability coefficient:      0.5325

. 
. egen populism = rowmean(Q14_1 Q14_4)
(998 missing values generated)

. sum populism

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
    populism |      4,337    3.772193     1.09125          1   
>        5

. 
. * Nationalism
. tab nationalism

                 National pride |      Freq.     Percent       
>  Cum.
--------------------------------+------------------------------
> -----
           1 - Nada orgulloso/a |        414        9.57       
>  9.57
                              2 |        220        5.09       
> 14.66
                              3 |        277        6.41       
> 21.07
                              4 |        426        9.85       
> 30.92
                              5 |        525       12.14       
> 43.06
                              6 |        436       10.08       
> 53.15
            7 - Muy orgulloso/a |      1,943       44.94       
> 98.08
No soy un ciudadano/a español/a |         83        1.92      1
> 00.00
--------------------------------+------------------------------
> -----
                          Total |      4,324      100.00

. tab nationalism, nolabel

   National |
      pride |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |        414        9.57        9.57
          2 |        220        5.09       14.66
          3 |        277        6.41       21.07
          4 |        426        9.85       30.92
          5 |        525       12.14       43.06
          6 |        436       10.08       53.15
          7 |      1,943       44.94       98.08
          8 |         83        1.92      100.00
------------+-----------------------------------
      Total |      4,324      100.00

. recode nationalism (8=.)
(83 changes made to nationalism)

. 
. 
. ** -----------------------
. ** Recode control variables
. 
. * gender
. tab gender

           Gender |      Freq.     Percent        Cum.
------------------+-----------------------------------
           Hombre |      2,854       59.69       59.69
            Mujer |      1,909       39.93       99.62
             Otro |         18        0.38      100.00
------------------+-----------------------------------
            Total |      4,781      100.00

. tab gender, nolabel

     Gender |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |      2,854       59.69       59.69
          2 |      1,909       39.93       99.62
          3 |         18        0.38      100.00
------------+-----------------------------------
      Total |      4,781      100.00

. recode gender (1=0 "male") (2=1 "female") (3=0), gen(female) 
(4,781 differences between gender and female)

. 
. * education 
. tab education

   Education |      Freq.     Percent        Cum.
-------------+-----------------------------------
No education |          9        0.18        0.18
     Primary |        336        6.76        6.94
   Secondary |      1,068       21.47       28.41
  University |      2,433       48.91       77.32
  Vocational |      1,046       21.03       98.35
       Other |         82        1.65      100.00
-------------+-----------------------------------
       Total |      4,974      100.00

. tab education, nolabel

  Education |      Freq.     Percent        Cum.
------------+-----------------------------------
          1 |          9        0.18        0.18
          2 |        336        6.76        6.94
          3 |      1,068       21.47       28.41
          4 |      2,433       48.91       77.32
          5 |      1,046       21.03       98.35
          6 |         82        1.65      100.00
------------+-----------------------------------
      Total |      4,974      100.00

. 
. recode education (1/2=0 "No/primary") (3=1 "secondary") (4=3 
> "degree") (5=2 "vocational") (6=4 "Other"), gen(educ)
(4,974 differences between education and educ)

. 
. * income
. tab income

                            Income |      Freq.     Percent    
>     Cum.
-----------------------------------+---------------------------
> --------
No tiene/n ingresos de ningún tipo |         60        1.53    
>     1.53
              Menos o igual a 300€ |         55        1.40    
>     2.93
                     De 301 a 600€ |        173        4.40    
>     7.33
                     De 601 a 900€ |        288        7.33    
>    14.66
                   De 901 a 1.200€ |        551       14.02    
>    28.68
                 De 1.201 a 1.800€ |        871       22.16    
>    50.84
                 De 1.801 a 2.400€ |        763       19.41    
>    70.25
                 De 2.401 a 3.000€ |        507       12.90    
>    83.16
                 De 3.001 a 4.500€ |        454       11.55    
>    94.71
                 De 4.501 a 6.000€ |        147        3.74    
>    98.45
                     Más de 6.000€ |         61        1.55    
>   100.00
-----------------------------------+---------------------------
> --------
                             Total |      3,930      100.00

. 
. * polint
. tab polint 

  Political |
   interest |      Freq.     Percent        Cum.
------------+-----------------------------------
       Nada |        121        2.59        2.59
       Poco |        522       11.17       13.75
   Bastante |      2,124       45.43       59.19
      Mucho |      1,908       40.81      100.00
------------+-----------------------------------
      Total |      4,675      100.00

. 
. * age
. tab age

        Age |      Freq.     Percent        Cum.
------------+-----------------------------------
         18 |        128        2.63        2.63
         19 |         78        1.60        4.24
         20 |         63        1.30        5.53
         21 |         59        1.21        6.75
         22 |         63        1.30        8.04
         23 |         50        1.03        9.07
         24 |         64        1.32       10.39
         25 |         56        1.15       11.54
         26 |         73        1.50       13.04
         27 |         75        1.54       14.59
         28 |         75        1.54       16.13
         29 |         77        1.58       17.71
         30 |         71        1.46       19.17
         31 |         79        1.63       20.80
         32 |         83        1.71       22.51
         33 |         74        1.52       24.03
         34 |         72        1.48       25.51
         35 |         48        0.99       26.50
         36 |         44        0.91       27.40
         37 |         45        0.93       28.33
         38 |         45        0.93       29.25
         39 |         49        1.01       30.26
         40 |         66        1.36       31.62
         41 |         55        1.13       32.75
         42 |         68        1.40       34.15
         43 |         56        1.15       35.30
         44 |         57        1.17       36.47
         45 |         93        1.91       38.39
         46 |         85        1.75       40.14
         47 |         91        1.87       42.01
         48 |         90        1.85       43.86
         49 |        104        2.14       46.00
         50 |        142        2.92       48.92
         51 |        101        2.08       51.00
         52 |        121        2.49       53.49
         53 |        115        2.37       55.85
         54 |        151        3.11       58.96
         55 |        122        2.51       61.47
         56 |        106        2.18       63.65
         57 |        133        2.74       66.39
         58 |        127        2.61       69.00
         59 |        139        2.86       71.86
         60 |        169        3.48       75.33
         61 |        102        2.10       77.43
         62 |        108        2.22       79.65
         63 |        118        2.43       82.08
         64 |        104        2.14       84.22
         79 |        139        2.86       87.08
         80 |        122        2.51       89.59
         81 |         84        1.73       91.32
         82 |         61        1.25       92.57
         83 |         89        1.83       94.40
         84 |         59        1.21       95.62
         85 |         43        0.88       96.50
         86 |         37        0.76       97.26
         87 |         35        0.72       97.98
         88 |         37        0.76       98.75
         89 |         26        0.53       99.28
         90 |         15        0.31       99.59
         91 |         20        0.41      100.00
------------+-----------------------------------
      Total |      4,861      100.00

. 
. capture drop birth

. gen birth = 2021-age
(474 missing values generated)

. 
. * domicile
. tab domicile

                      Domicile |      Freq.     Percent        
> Cum.
-------------------------------+-------------------------------
> ----
               Una gran ciudad |      1,557       31.37       3
> 1.37
Las afueras de una gran ciudad |        607       12.23       4
> 3.60
            Una ciudad pequeña |      1,948       39.25       8
> 2.85
Un pueblo o granja en el campo |        851       17.15      10
> 0.00
-------------------------------+-------------------------------
> ----
                         Total |      4,963      100.00

. 
. 
. *-------------------
. *** AD CAMPAIGNS
. 
. tab utm_campaign

       Social media ad recruitment type |      Freq.     Percen
> t        Cum.
----------------------------------------+----------------------
> -------------
               Spain 2022: 10 Euros new |        277        5.2
> 5        5.25
              Spain 2022: 175 Euros new |        392        7.4
> 3       12.68
                  Spain 2022: Amazon 10 |         27        0.5
> 1       13.19
                 Spain 2022: Amazon 150 |         46        0.8
> 7       14.06
                       Spain 2022: base |         86        1.6
> 3       15.69
                   Spain 2022: base new |        296        5.6
> 1       21.30
              Spain 2022: no incentives |      3,578       67.7
> 9       89.09
Spain 2022: political image 3 additio.. |        576       10.9
> 1      100.00
----------------------------------------+----------------------
> -------------
                                  Total |      5,278      100.0
> 0

. tab utm_campaign, nolabel

       Social media ad recruitment type |      Freq.     Percen
> t        Cum.
----------------------------------------+----------------------
> -------------
               Spain 2022: 10 Euros new |        277        5.2
> 5        5.25
              Spain 2022: 175 Euros new |        392        7.4
> 3       12.68
                  Spain 2022: Amazon 10 |         27        0.5
> 1       13.19
                 Spain 2022: Amazon 150 |         46        0.8
> 7       14.06
                       Spain 2022: base |         86        1.6
> 3       15.69
                   Spain 2022: base new |        296        5.6
> 1       21.30
              Spain 2022: no incentives |      3,578       67.7
> 9       89.09
Spain 2022: political image 3 additio.. |        576       10.9
> 1      100.00
----------------------------------------+----------------------
> -------------
                                  Total |      5,278      100.0
> 0

. 
. capture drop ads

. 
. gen ads = 0 if utm_campaign=="Spain 2022: base new" | utm_cam
> paign=="Spain 2022: base"
(4,953 missing values generated)

. replace ads = 1 if utm_campaign=="Spain 2022: no incentives" 
> | utm_campaign=="Spain 2022: political image 3 additional"
(4,154 real changes made)

. replace ads = 2 if utm_campaign=="Spain 2022: Amazon 10" | ut
> m_campaign=="Spain 2022: 10 Euros new"
(304 real changes made)

. replace ads = 3 if utm_campaign=="Spain 2022: Amazon 150" | u
> tm_campaign=="Spain 2022: 175 Euros new"
(438 real changes made)

.  
. lab def adlbl 0 "Base" 1 "No incentives" 2 "Incentives: low" 
> 3 "Incentives: high" 

. lab val ads adlbl

. 
. tab utm_campaign ads 

      Social media ad |          ads
     recruitment type |      Base  No incent |     Total
----------------------+----------------------+----------
Spain 2022: 10 Euro.. |         0          0 |       277 
Spain 2022: 175 Eur.. |         0          0 |       392 
Spain 2022: Amazon 10 |         0          0 |        27 
Spain 2022: Amazon .. |         0          0 |        46 
     Spain 2022: base |        86          0 |        86 
 Spain 2022: base new |       296          0 |       296 
Spain 2022: no ince.. |         0      3,578 |     3,578 
Spain 2022: politic.. |         0        576 |       576 
----------------------+----------------------+----------
                Total |       382      4,154 |     5,278 


      Social media ad |          ads
     recruitment type | Incentive  Incentive |     Total
----------------------+----------------------+----------
Spain 2022: 10 Euro.. |       277          0 |       277 
Spain 2022: 175 Eur.. |         0        392 |       392 
Spain 2022: Amazon 10 |        27          0 |        27 
Spain 2022: Amazon .. |         0         46 |        46 
     Spain 2022: base |         0          0 |        86 
 Spain 2022: base new |         0          0 |       296 
Spain 2022: no ince.. |         0          0 |     3,578 
Spain 2022: politic.. |         0          0 |       576 
----------------------+----------------------+----------
                Total |       304        438 |     5,278 

. 
. 
. *-------------------
. *** SAVE RECODED DATA
. 
. save "Spain_Vox_recoded.dta", replace
file Spain_Vox_recoded.dta saved

. 
. 
. 
. 
end of do-file

. 
. ** Call recoded data
. use "Spain_Vox_recoded.dta", clear 

. 
. *-------------------
. *** Defining globals
. 
. global controls age female i.educ polint income i.b4.domicile

. global vox  vote_3 vox_sup vote_vox_right

. global ptv ptv_1 ptv_2 ptv_3 ptv_4 ptv_5

. global outcomes_main support donate

. global outcomes demimp01 autoc_dum 

. 
. bys vote_3: pwcorr $outcomes_main $outcomes

---------------------------------------------------------------
-> vote_3 = 0

             |  support   donate demimp01 autoc_~m
-------------+------------------------------------
     support |   1.0000 
      donate |   0.5785   1.0000 
    demimp01 |  -0.0619  -0.0240   1.0000 
   autoc_dum |  -0.0954  -0.0211   0.5458   1.0000 

---------------------------------------------------------------
-> vote_3 = 1

             |  support   donate demimp01 autoc_~m
-------------+------------------------------------
     support |   1.0000 
      donate |   0.5930   1.0000 
    demimp01 |   0.0578   0.0637   1.0000 
   autoc_dum |   0.0751   0.0408   0.5398   1.0000 

---------------------------------------------------------------
-> vote_3 = .

             |  support   donate demimp01 autoc_~m
-------------+------------------------------------
     support |   1.0000 
      donate |   0.6625   1.0000 
    demimp01 |  -0.2220  -0.1970   1.0000 
   autoc_dum |  -0.2068  -0.0913   0.3273   1.0000 

. 
. ** ----------------------------------------------------------
. ** FIGURE 1: Plotting coef of treatments for sub-samples
. 
. 
. foreach k of varlist vox_sup vote_3 {
  2. reg support i.treat female i.educ if `k'==1
  3. estimates store M1_`k'
  4. 
. reg donate i.treat female i.educ  if `k'==1 
  5. estimates store M2_`k' 
  6. 
. reg support i.treat polint if `k'==0
  7. estimates store M4_`k'
  8. 
. reg donate i.treat polint  if `k'==0 
  9. estimates store M3_`k'
 10. 
. }

      Source |       SS           df       MS      Number of ob
> s   =     1,036
-------------+----------------------------------   F(10, 1025) 
>     =     33.11
       Model |  601.799457        10  60.1799457   Prob > F    
>     =    0.0000
    Residual |  1862.85209     1,025  1.81741667   R-squared   
>     =    0.2442
-------------+----------------------------------   Adj R-square
> d   =    0.2368
       Total |  2464.65154     1,035  2.38130584   Root MSE    
>     =    1.3481

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -.1615648    .145131    -1.11   0.266    -.4463
> 527                                                          
>         .123223
    Catalan  |  -1.887251   .1455328   -12.97   0.000    -2.172
> 828                                                          
>       -1.601675
Immigration  |   -1.00818    .143703    -7.02   0.000    -1.290
> 166                                                          
>       -.7261943
   Feminism  |  -1.671925   .1431969   -11.68   0.000    -1.952
> 918                                                          
>       -1.390933
     Unions  |   -1.63674   .1518114   -10.78   0.000    -1.934
> 636                                                          
>       -1.338843
             |
      female |   .0938632    .090013     1.04   0.297    -.0827
> 675                                                          
>         .270494
             |
        educ |
  secondary  |    .302046   .1862221     1.62   0.105     -.063
> 374                                                          
>        .6674661
 vocational  |  -.0053116   .1848182    -0.03   0.977    -.3679
> 769                                                          
>        .3573537
     degree  |   .2066036   .1754652     1.18   0.239    -.1377
> 084                                                          
>        .5509156
      Other  |   .6047666   .3764055     1.61   0.108    -.1338
> 469                                                          
>         1.34338
             |
       _cons |   2.874248   .1916771    15.00   0.000     2.498
> 123                                                          
>        3.250372
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =       980
-------------+----------------------------------   F(10, 969)  
>     =      5.67
       Model |  4.28881023        10  .428881023   Prob > F    
>     =    0.0000
    Residual |  73.3387408       969  .075684975   R-squared   
>     =    0.0552
-------------+----------------------------------   Adj R-square
> d   =    0.0455
       Total |   77.627551       979  .079292698   Root MSE    
>     =    .27511

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |   .0188899   .0309412     0.61   0.542    -.0418
> 295                                                          
>        .0796093
    Catalan  |     -.1426   .0307753    -4.63   0.000    -.2029
> 939                                                          
>       -.0822061
Immigration  |  -.0543033   .0310095    -1.75   0.080    -.1151
> 568                                                          
>        .0065501
   Feminism  |  -.1274704     .03038    -4.20   0.000    -.1870
> 886                                                          
>       -.0678521
     Unions  |  -.1248077   .0321013    -3.89   0.000    -.1878
> 038                                                          
>       -.0618116
             |
      female |  -.0075522   .0189503    -0.40   0.690    -.0447
> 406                                                          
>        .0296362
             |
        educ |
  secondary  |  -.0136951   .0380921    -0.36   0.719    -.0884
> 476                                                          
>        .0610573
 vocational  |  -.0377867   .0377706    -1.00   0.317    -.1119
> 084                                                          
>        .0363349
     degree  |  -.0171056   .0356854    -0.48   0.632    -.0871
> 351                                                          
>         .052924
      Other  |   .0776451   .0747917     1.04   0.299    -.0691
> 273                                                          
>        .2244174
             |
       _cons |    .180405   .0395655     4.56   0.000     .1027
> 611                                                          
>        .2580488
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =     3,324
-------------+----------------------------------   F(6, 3317)  
>     =    299.05
       Model |  4577.68417         6  762.947362   Prob > F    
>     =    0.0000
    Residual |  8462.54687     3,317  2.55126526   R-squared   
>     =    0.3510
-------------+----------------------------------   Adj R-square
> d   =    0.3499
       Total |   13040.231     3,323  3.92423444   Root MSE    
>     =    1.5973

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -2.753341   .0966799   -28.48   0.000    -2.942
> 899                                                          
>       -2.563783
    Catalan  |  -.9903641   .0970722   -10.20   0.000    -1.180
> 692                                                          
>       -.8000365
Immigration  |   .8227958   .0944144     8.71   0.000     .6376
> 794                                                          
>        1.007912
   Feminism  |   .3309715   .0948882     3.49   0.000     .1449
> 262                                                          
>        .5170168
     Unions  |  -.3506141   .0949831    -3.69   0.000    -.5368
> 455                                                          
>       -.1643826
             |
      polint |   .4168488   .0379698    10.98   0.000     .3424
> 022                                                          
>        .4912953
       _cons |   2.621102   .1404108    18.67   0.000     2.345
> 801                                                          
>        2.896402
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =     2,866
-------------+----------------------------------   F(6, 2859)  
>     =    104.63
       Model |   97.336235         6  16.2227058   Prob > F    
>     =    0.0000
    Residual |  443.274023     2,859  .155045129   R-squared   
>     =    0.1800
-------------+----------------------------------   Adj R-square
> d   =    0.1783
       Total |  540.610258     2,865   .18869468   Root MSE    
>     =    .39376

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -.2378575   .0248818    -9.56   0.000    -.2866
> 455                                                          
>       -.1890695
    Catalan  |  -.1110361   .0253805    -4.37   0.000     -.160
> 802                                                          
>       -.0612702
Immigration  |    .333816    .025985    12.85   0.000     .2828
> 647                                                          
>        .3847672
   Feminism  |    .150768   .0257176     5.86   0.000     .1003
> 411                                                          
>         .201195
     Unions  |  -.0391093   .0251787    -1.55   0.120    -.0884
> 796                                                          
>         .010261
             |
      polint |   .0472203   .0099049     4.77   0.000     .0277
> 989                                                          
>        .0666417
       _cons |   .0909356   .0365203     2.49   0.013     .0193
> 268                                                          
>        .1625444
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =       586
-------------+----------------------------------   F(10, 575)  
>     =     36.43
       Model |  552.815575        10  55.2815575   Prob > F    
>     =    0.0000
    Residual |  872.501832       575  1.51739449   R-squared   
>     =    0.3879
-------------+----------------------------------   Adj R-square
> d   =    0.3772
       Total |  1425.31741       585  2.43644001   Root MSE    
>     =    1.2318

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |   .6344985   .1809796     3.51   0.000     .2790
> 368                                                          
>        .9899601
    Catalan  |  -1.785705   .1760244   -10.14   0.000    -2.131
> 435                                                          
>       -1.439976
Immigration  |  -1.231653   .1714679    -7.18   0.000    -1.568
> 432                                                          
>       -.8948727
   Feminism  |  -1.738612   .1719071   -10.11   0.000    -2.076
> 254                                                          
>        -1.40097
     Unions  |  -1.920197   .1875715   -10.24   0.000    -2.288
> 606                                                          
>       -1.551789
             |
      female |   .0826913    .112341     0.74   0.462    -.1379
> 574                                                          
>        .3033401
             |
        educ |
  secondary  |   .0200185   .2054218     0.10   0.922      -.38
> 345                                                          
>        .4234871
 vocational  |  -.3686665   .1990916    -1.85   0.065    -.7597
> 019                                                          
>         .022369
     degree  |  -.0495224   .1861178    -0.27   0.790    -.4150
> 762                                                          
>        .3160313
      Other  |   .0113497   .4314521     0.03   0.979    -.8360
> 646                                                          
>         .858764
             |
       _cons |   3.073379   .2099056    14.64   0.000     2.661
> 104                                                          
>        3.485655
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =       561
-------------+----------------------------------   F(10, 550)  
>     =      6.38
       Model |  4.81819053        10  .481819053   Prob > F    
>     =    0.0000
    Residual |  41.5454458       550  .075537174   R-squared   
>     =    0.1039
-------------+----------------------------------   Adj R-square
> d   =    0.0876
       Total |  46.3636364       560  .082792208   Root MSE    
>     =    .27484

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |   .1298501   .0420224     3.09   0.002     .0473
> 061                                                          
>        .2123942
    Catalan  |  -.1079985   .0405934    -2.66   0.008    -.1877
> 355                                                          
>       -.0282615
Immigration  |  -.0434958   .0399882    -1.09   0.277    -.1220
> 441                                                          
>        .0350525
   Feminism  |  -.1117932   .0398395    -2.81   0.005    -.1900
> 494                                                          
>        -.033537
     Unions  |  -.1435212   .0428952    -3.35   0.001    -.2277
> 796                                                          
>       -.0592629
             |
      female |   .0147745   .0255484     0.58   0.563    -.0354
> 098                                                          
>        .0649588
             |
        educ |
  secondary  |  -.0786154   .0458651    -1.71   0.087    -.1687
> 076                                                          
>        .0114768
 vocational  |  -.1012641   .0442877    -2.29   0.023    -.1882
> 578                                                          
>       -.0142704
     degree  |  -.0717835   .0413939    -1.73   0.083     -.153
> 093                                                          
>         .009526
      Other  |  -.0321575   .0921681    -0.35   0.727     -.213
> 202                                                          
>         .148887
             |
       _cons |   .2081339   .0474455     4.39   0.000     .1149
> 373                                                          
>        .3013304
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =     3,808
-------------+----------------------------------   F(6, 3801)  
>     =    251.84
       Model |  4278.18071         6  713.030119   Prob > F    
>     =    0.0000
    Residual |  10761.5325     3,801  2.83123718   R-squared   
>     =    0.2845
-------------+----------------------------------   Adj R-square
> d   =    0.2833
       Total |  15039.7132     3,807  3.95054196   Root MSE    
>     =    1.6826

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -2.513545   .0948926   -26.49   0.000     -2.69
> 959                                                          
>         -2.3275
    Catalan  |  -1.139299   .0954656   -11.93   0.000    -1.326
> 468                                                          
>       -.9521303
Immigration  |   .6491187   .0934867     6.94   0.000     .4658
> 298                                                          
>        .8324077
   Feminism  |   .0843916   .0936707     0.90   0.368     -.099
> 258                                                          
>        .2680413
     Unions  |  -.4651867   .0940435    -4.95   0.000    -.6495
> 673                                                          
>       -.2808062
             |
      polint |   .4218625   .0369293    11.42   0.000     .3494
> 594                                                          
>        .4942656
       _cons |   2.514495   .1368774    18.37   0.000     2.246
> 135                                                          
>        2.782856
---------------------------------------------------------------
> ---------------

      Source |       SS           df       MS      Number of ob
> s   =     3,320
-------------+----------------------------------   F(6, 3313)  
>     =     96.56
       Model |   87.551212         6  14.5918687   Prob > F    
>     =    0.0000
    Residual |   500.63674     3,313   .15111281   R-squared   
>     =    0.1488
-------------+----------------------------------   Adj R-square
> d   =    0.1473
       Total |  588.187952     3,319  .177218425   Root MSE    
>     =    .38873

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -.2222934   .0228776    -9.72   0.000    -.2671
> 491                                                          
>       -.1774378
    Catalan  |  -.1262001   .0233199    -5.41   0.000    -.1719
> 229                                                          
>       -.0804773
Immigration  |   .2797143    .023923    11.69   0.000     .2328
> 089                                                          
>        .3266196
   Feminism  |    .096971   .0235859     4.11   0.000     .0507
> 265                                                          
>        .1432155
     Unions  |  -.0526937   .0232685    -2.26   0.024    -.0983
> 157                                                          
>       -.0070717
             |
      polint |   .0483721   .0090098     5.37   0.000     .0307
> 068                                                          
>        .0660375
       _cons |   .0849147    .033286     2.55   0.011     .0196
> 514                                                          
>        .1501779
---------------------------------------------------------------
> ---------------

. 
. matrix list e(b)

e(b)[1,8]
            0b.          1.          2.          3.          4.
         treat       treat       treat       treat       treat
y1           0  -.22229343  -.12620011   .27971427   .09697099

             5.                        
         treat      polint       _cons
y1  -.05269371   .04837213   .08491468

. 
. 
. coefplot  (M1_vox_sup, label(VOX supporters) msize(medlarge) 
>  mlwidth(medthick)) (M1_vote_3, label(VOX voters) msize(medla
> rge)  mlwidth(medthick)) (M4_vote_3, label(Non-VOX voters) ms
> ize(medlarge)  mlwidth(medthick)), keep(1.treat 2.treat 3.tre
> at 4.treat 5.treat) xline(0) xlabel() ylabel(, labsize(large)
> )  xtitle("Marginal effects of treatments vs control ", size(
> large)) title(Outcome: Attitudinal Support, size(vlarge)) nam
> e(dv1, replace) legend(size(medium)) 

. 
. coefplot  (M2_vox_sup, label(VOX supporters) msize(medlarge) 
>  mlwidth(medthick)) (M2_vote_3, label(VOX voters) msize(medla
> rge)  mlwidth(medthick)) (M3_vote_3, label(Non-VOX voters) ms
> ize(medlarge)  mlwidth(medthick)), keep(1.treat 2.treat 3.tre
> at 4.treat 5.treat) xline(0) xlabel()  xtitle("Marginal effec
> ts of treatments vs control ", size(large)) title(Outcome: Do
> nation, size(vlarge)) name(dv2, replace) legend(size(medium))
>  ylabel(, labsize(large))

. 
. graph combine dv1 dv2, xsize(11) ysize(5) 

. graph save  "${graphs}Figure1_Coef_vox_treat.gph",  replace
file /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_
> Populism/Vox/Analysis/Replication/graphs/Figure1_Coef_vox_tre
> at.gph saved

. graph export  "${graphs}Figure1_Coef_vox_treat.pdf", as(pdf) 
> replace
file
    /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project
    > _Populism/Vox/Analysis/Replication/graphs/Figure1_Coef_
    > vox_treat.pdf saved as PDF format

. 
. 
. 
. ** ----------------------------------------------------------
. ** TABLE 1: Main regressions - Using VOX-VOTE FOR INTERACTION
. 
. capture erase "${results}Table1_main_support.xls"

. capture erase "${results}Table1_main_support.txt"

. 
. **  ON ENTIRE SAMPLE
. 
. foreach k of varlist vote_3 {
  2. reg support i.treat##i.`k' polint 
  3. estimates store M1_`k'
  4. outreg2  using "${results}Table1_main_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. reg donate i.treat##i.`k' polint 
  6. estimates store M2_`k'
  7. outreg2  using "${results}Table1_main_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. }

      Source |       SS           df       MS      Number of ob
> s   =     4,409
-------------+----------------------------------   F(12, 4396) 
>     =    178.87
       Model |  5744.21679        12  478.684733   Prob > F    
>     =    0.0000
    Residual |  11764.2033     4,396  2.67611539   R-squared   
>     =    0.3281
-------------+----------------------------------   Adj R-square
> d   =    0.3262
       Total |    17508.42     4,408  3.97196462   Root MSE    
>     =    1.6359

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -2.507319   .0922471   -27.18   0.000     -2.68
> 817                                                          
>       -2.326468
    Catalan  |  -1.137233   .0928125   -12.25   0.000    -1.319
> 193                                                          
>       -.9552743
Immigration  |   .6501235   .0908894     7.15   0.000     .4719
> 346                                                          
>        .8283125
   Feminism  |   .0864705   .0910674     0.95   0.342    -.0920
> 675                                                          
>        .2650084
     Unions  |  -.4620697   .0914285    -5.05   0.000    -.6413
> 157                                                          
>       -.2828237
             |
    1.vote_3 |  -.8484121   .1751585    -4.84   0.000    -1.191
> 811                                                          
>       -.5050131
             |
treat#vote_3 |
   Franco#1  |   3.175729    .253796    12.51   0.000     2.678
> 161                                                          
>        3.673297
  Catalan#1  |  -.6516312   .2471671    -2.64   0.008    -1.136
> 203                                                          
>       -.1670591
Immigration #|
          1  |  -1.862973   .2413213    -7.72   0.000    -2.336
> 084                                                          
>       -1.389862
 Feminism#1  |  -1.856933   .2422451    -7.67   0.000    -2.331
> 855                                                          
>        -1.38201
   Unions#1  |  -1.481464   .2613503    -5.67   0.000    -1.993
> 842                                                          
>        -.969086
             |
      polint |   .3599856   .0334529    10.76   0.000      .294
> 401                                                          
>        .4255701
       _cons |   2.714992   .1261925    21.51   0.000     2.467
> 591                                                          
>        2.962393
---------------------------------------------------------------
> ---------------
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.rtf
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.xls
dir : seeout

      Source |       SS           df       MS      Number of ob
> s   =     3,893
-------------+----------------------------------   F(12, 3880) 
>     =     60.30
       Model |  101.370639        12  8.44755324   Prob > F    
>     =    0.0000
    Residual |   543.59006     3,880  .140100531   R-squared   
>     =    0.1572
-------------+----------------------------------   Adj R-square
> d   =    0.1546
       Total |  644.960699     3,892  .165714465   Root MSE    
>     =     .3743

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -.2219213   .0220234   -10.08   0.000    -.2650
> 999                                                          
>       -.1787427
    Catalan  |  -.1260597   .0224534    -5.61   0.000    -.1700
> 813                                                          
>       -.0820381
Immigration  |   .2798745    .023034    12.15   0.000     .2347
> 147                                                          
>        .3250344
   Feminism  |   .0970068   .0227102     4.27   0.000     .0524
> 817                                                          
>        .1415319
     Unions  |  -.0525501   .0224039    -2.35   0.019    -.0964
> 746                                                          
>       -.0086256
             |
    1.vote_3 |  -.1034536   .0427452    -2.42   0.016    -.1872
> 588                                                          
>       -.0196484
             |
treat#vote_3 |
   Franco#1  |   .3523326   .0605799     5.82   0.000     .2335
> 611                                                          
>        .4711041
  Catalan#1  |   .0308424   .0588681     0.52   0.600     -.084
> 573                                                          
>        .1462578
Immigration #|
          1  |  -.3243112   .0585339    -5.54   0.000    -.4390
> 714                                                          
>        -.209551
 Feminism#1  |  -.2062594   .0580972    -3.55   0.000    -.3201
> 634                                                          
>       -.0923555
   Unions#1  |  -.0841736   .0616891    -1.36   0.172    -.2051
> 197                                                          
>        .0367726
             |
      polint |   .0457756   .0080594     5.68   0.000     .0299
> 745                                                          
>        .0615768
       _cons |   .0932431   .0303509     3.07   0.002     .0337
> 378                                                          
>        .1527485
---------------------------------------------------------------
> ---------------
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.rtf
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.xls
dir : seeout

. 
. ** ON RIGHT-WING SAMPLE
. 
. foreach k of varlist vote_vox_right {
  2. reg support i.treat##i.`k'
  3. estimates store M1_`k'
  4. outreg2  using "${results}Table1_main_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  5. 
. reg donate i.treat##i.`k'  
  6. estimates store M2_`k'
  7. outreg2  using "${results}Table1_main_support.xls", ///
> bracket bdec(3) sdec(3) append label word 
  8. 
. }

      Source |       SS           df       MS      Number of ob
> s   =     1,314
-------------+----------------------------------   F(11, 1302) 
>     =     53.19
       Model |  1008.62853        11  91.6935026   Prob > F    
>     =    0.0000
    Residual |  2244.37071     1,302  1.72378703   R-squared   
>     =    0.3101
-------------+----------------------------------   Adj R-square
> d   =    0.3042
       Total |  3252.99924     1,313  2.47753179   Root MSE    
>     =    1.3129

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -1.414903   .1664085    -8.50   0.000    -1.741
> 361                                                          
>       -1.088445
    Catalan  |  -2.321912   .1704261   -13.62   0.000    -2.656
> 251                                                          
>       -1.987572
Immigration  |  -.7368739   .1681544    -4.38   0.000    -1.066
> 757                                                          
>       -.4069907
   Feminism  |  -1.814712    .168519   -10.77   0.000     -2.14
> 531                                                          
>       -1.484113
     Unions  |  -1.879434   .1704261   -11.03   0.000    -2.213
> 773                                                          
>       -1.545094
             |
1.vote_vox~t |      -.552    .175663    -3.14   0.002    -.8966
> 135                                                          
>       -.2073865
             |
       treat#|
vote_vox_r~t |
   Franco#1  |   2.085233    .252392     8.26   0.000     1.590
> 093                                                          
>        2.580372
  Catalan#1  |   .5355037   .2506951     2.14   0.033     .0436
> 931                                                          
>        1.027314
Immigration #|
          1  |  -.4473366   .2458944    -1.82   0.069    -.9297
> 291                                                          
>         .035056
 Feminism#1  |   .0647119   .2466917     0.26   0.793     -.419
> 245                                                          
>        .5486687
   Unions#1  |  -.0464923   .2596027    -0.18   0.858    -.5557
> 777                                                          
>        .4627931
             |
       _cons |      3.552   .1174321    30.25   0.000     3.321
> 623                                                          
>        3.782377
---------------------------------------------------------------
> ---------------
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.rtf
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.xls
dir : seeout

      Source |       SS           df       MS      Number of ob
> s   =     1,233
-------------+----------------------------------   F(11, 1221) 
>     =     10.44
       Model |  9.72562934        11  .884148121   Prob > F    
>     =    0.0000
    Residual |  103.398458     1,221  .084683422   R-squared   
>     =    0.0860
-------------+----------------------------------   Adj R-square
> d   =    0.0777
       Total |  113.124088     1,232    .0918215   Root MSE    
>     =      .291

---------------------------------------------------------------
> ---------------
      donate | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -.1889453   .0384288    -4.92   0.000    -.2643
> 392                                                          
>       -.1135515
    Catalan  |  -.2024961   .0392406    -5.16   0.000    -.2794
> 826                                                          
>       -.1255096
Immigration  |   .0088906   .0406194     0.22   0.827     -.070
> 801                                                          
>        .0885822
   Feminism  |  -.1428799    .038901    -3.67   0.000    -.2192
> 002                                                          
>       -.0665597
     Unions  |  -.2102302   .0396965    -5.30   0.000    -.2881
> 111                                                          
>       -.1323493
             |
1.vote_vox~t |  -.1037006   .0415742    -2.49   0.013    -.1852
> 654                                                          
>       -.0221359
             |
       treat#|
vote_vox_r~t |
   Franco#1  |   .3184817   .0583236     5.46   0.000      .204
> 056                                                          
>        .4329073
  Catalan#1  |   .1072686   .0577042     1.86   0.063    -.0059
> 418                                                          
>        .2204789
Immigration #|
          1  |  -.0493824   .0583124    -0.85   0.397     -.163
> 786                                                          
>        .0650212
 Feminism#1  |   .0355714   .0569359     0.62   0.532    -.0761
> 317                                                          
>        .1472745
   Unions#1  |   .0753988    .059666     1.26   0.207    -.0416
> 606                                                          
>        .1924581
             |
       _cons |   .2385321   .0278731     8.56   0.000     .1838
> 475                                                          
>        .2932167
---------------------------------------------------------------
> ---------------
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.rtf
/Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_Popul
> ism/Vox/Analysis/Replication/tables/Table1_main_support.xls
dir : seeout

. 
. 
. ** ----------------------------------------------------------
. ** FIGURE 2:  Using VOX vote for interaction ON SUPPORT
. 
. bys vote_3: sum support if treat==1

---------------------------------------------------------------
-> vote_3 = 0

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
     support |        621    1.409018    1.014499          1   
>        6

---------------------------------------------------------------
-> vote_3 = 1

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
     support |         91     3.67033    1.880041          1   
>        6

---------------------------------------------------------------
-> vote_3 = .

    Variable |        Obs        Mean    Std. dev.       Min   
>      Max
-------------+-------------------------------------------------
> --------
     support |          4         1.5           1          1   
>        3


. 
. 
. *** Predicted values: SUPPORT
. 
. reg support i.treat##i.vote_3  polint

      Source |       SS           df       MS      Number of ob
> s   =     4,409
-------------+----------------------------------   F(12, 4396) 
>     =    178.87
       Model |  5744.21679        12  478.684733   Prob > F    
>     =    0.0000
    Residual |  11764.2033     4,396  2.67611539   R-squared   
>     =    0.3281
-------------+----------------------------------   Adj R-square
> d   =    0.3262
       Total |    17508.42     4,408  3.97196462   Root MSE    
>     =    1.6359

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |  -2.507319   .0922471   -27.18   0.000     -2.68
> 817                                                          
>       -2.326468
    Catalan  |  -1.137233   .0928125   -12.25   0.000    -1.319
> 193                                                          
>       -.9552743
Immigration  |   .6501235   .0908894     7.15   0.000     .4719
> 346                                                          
>        .8283125
   Feminism  |   .0864705   .0910674     0.95   0.342    -.0920
> 675                                                          
>        .2650084
     Unions  |  -.4620697   .0914285    -5.05   0.000    -.6413
> 157                                                          
>       -.2828237
             |
    1.vote_3 |  -.8484121   .1751585    -4.84   0.000    -1.191
> 811                                                          
>       -.5050131
             |
treat#vote_3 |
   Franco#1  |   3.175729    .253796    12.51   0.000     2.678
> 161                                                          
>        3.673297
  Catalan#1  |  -.6516312   .2471671    -2.64   0.008    -1.136
> 203                                                          
>       -.1670591
Immigration #|
          1  |  -1.862973   .2413213    -7.72   0.000    -2.336
> 084                                                          
>       -1.389862
 Feminism#1  |  -1.856933   .2422451    -7.67   0.000    -2.331
> 855                                                          
>        -1.38201
   Unions#1  |  -1.481464   .2613503    -5.67   0.000    -1.993
> 842                                                          
>        -.969086
             |
      polint |   .3599856   .0334529    10.76   0.000      .294
> 401                                                          
>        .4255701
       _cons |   2.714992   .1261925    21.51   0.000     2.467
> 591                                                          
>        2.962393
---------------------------------------------------------------
> ---------------

. estimates store M1_vote

. 
. estimates restore M1_vote
(results M1_vote are active now)

. margins,  at(treat= 1 vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,409
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat  = 1
       vote_3 = 0
2._at: treat  = 1
       vote_3 = 1

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   1.383321   .0657996    21.02   0.000     1.254
> 321                                                          
>        1.512322
          2  |   3.710639   .1715281    21.63   0.000     3.374
> 357                                                          
>         4.04692
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("VOX vote", size(vlarge)) ylabel(1(1)6, lab
> size(large)) xlabel(, noval labsize(medlarge)) ytitle(Predict
> ed support, size(vlarge)) title(" ") legend(off) name(franco,
>  replace) title("Pro-Franco", size(huge)) recastci(rspike) re
> cast(scatter) plot1opts(msize(vlarge)  mlwidth(medthick))

Variables that uniquely identify margins: vote_3

. 
. estimates restore M1_vote
(results M1_vote are active now)

. margins,  at(treat= 2 vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,409
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat  = 2
       vote_3 = 0
2._at: treat  = 2
       vote_3 = 1

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   2.753407   .0666188    41.33   0.000       2.6
> 228                                                          
>        2.884013
          2  |   1.253363   .1612308     7.77   0.000     .9372
> 699                                                          
>        1.569457
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("VOX vote", size(vlarge)) ylabel(1(1)6, lab
> size(large)) xlabel(, noval labsize(medlarge)) ytitle(Predict
> ed support, size(vlarge)) title(" ") legend(off) name(catalan
> , replace) title("Pro-Catalan", size(huge)) recastci(rspike) 
> recast(scatter) plot1opts(msize(vlarge) mlwidth(medthick))

Variables that uniquely identify margins: vote_3

. 
. estimates restore M1_vote
(results M1_vote are active now)

. margins,  at(treat= 3 vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,409
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat  = 3
       vote_3 = 0
2._at: treat  = 3
       vote_3 = 1

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   4.540764     .06392    71.04   0.000     4.415
> 448                                                          
>        4.666079
          2  |   1.829379   .1532197    11.94   0.000     1.528
> 991                                                          
>        2.129767
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("VOX vote", size(vlarge)) ylabel(1(1)6, lab
> size(large)) xlabel(, noval labsize(medlarge)) ytitle(Predict
> ed support, size(vlarge)) title(" ") legend(off) name(immig, 
> replace) title("Pro-Immigration", size(huge)) recastci(rspike
> ) recast(scatter) plot1opts(msize(vlarge) mlwidth(medthick))

Variables that uniquely identify margins: vote_3

. 
. 
. estimates restore M1_vote
(results M1_vote are active now)

. margins,  at(treat= 4 vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,409
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat  = 4
       vote_3 = 0
2._at: treat  = 4
       vote_3 = 1

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   3.977111   .0641652    61.98   0.000     3.851
> 315                                                          
>        4.102907
          2  |   1.271766   .1545897     8.23   0.000      .968
> 692                                                          
>        1.574839
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("VOX vote", size(vlarge)) ylabel(1(1)6, lab
> size(large)) xlabel(, noval labsize(medlarge)) ytitle(Predict
> ed support, size(vlarge)) title(" ") legend(off) name(femin, 
> replace) title("Pro-Feminism", size(huge)) recastci(rspike) r
> ecast(scatter) plot1opts(msize(vlarge) mlwidth(medthick))

Variables that uniquely identify margins: vote_3

. 
. 
. estimates restore M1_vote
(results M1_vote are active now)

. margins,  at(treat= 5 vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,409
Model VCE: OLS

Expression: Linear prediction, predict()
1._at: treat  = 5
       vote_3 = 0
2._at: treat  = 5
       vote_3 = 1

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   3.428571   .0646693    53.02   0.000     3.301
> 786                                                          
>        3.555355
          2  |   1.098694   .1829106     6.01   0.000     .7400
> 973                                                          
>        1.457291
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("VOX vote", size(vlarge)) ylabel(1(1)6, lab
> size(large)) xlabel(, noval labsize(medlarge)) ytitle(Predict
> ed support, size(vlarge)) title(" ") legend(off) name(union, 
> replace) title("Pro-Unions", size(huge)) recastci(rspike) rec
> ast(scatter) plot1opts(msize(vlarge) mlwidth(medthick))

Variables that uniquely identify margins: vote_3

.  
.  graph combine  franco catalan immig femin union, xsize(11) y
> size(4) row(1)

. graph save  "${graphs}Figure2_Support_Voxvote_pred.gph",  rep
> lace
file /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_
> Populism/Vox/Analysis/Replication/graphs/Figure2_Support_Voxv
> ote_pred.gph saved

. graph export  "${graphs}Figure2_Support_Voxvote_pred.pdf", as
> (pdf) replace
file
    /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project
    > _Populism/Vox/Analysis/Replication/graphs/Figure2_Suppo
    > rt_Voxvote_pred.pdf saved as PDF format

. 
.  
. ****---------------------------------
. *** FIGURE 3: COHORTS
. 
. *** Continues birth year interaction 
. 
. reg support i.treat##i.vote_3##c.birth polint 

      Source |       SS           df       MS      Number of ob
> s   =     4,307
-------------+----------------------------------   F(24, 4282) 
>     =     89.94
       Model |  5738.33992        24  239.097497   Prob > F    
>     =    0.0000
    Residual |  11383.7102     4,282  2.65850309   R-squared   
>     =    0.3351
-------------+----------------------------------   Adj R-square
> d   =    0.3314
       Total |  17122.0502     4,306  3.97632377   Root MSE    
>     =    1.6305

---------------------------------------------------------------
> ---------------
     support | Coefficient  Std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
       treat |
     Franco  |   3.782967   11.68357     0.32   0.746    -19.12
> 288                                                          
>        26.68881
    Catalan  |   -13.9468   12.06364    -1.16   0.248    -37.59
> 778                                                          
>        9.704185
Immigration  |   27.04691   11.51106     2.35   0.019     4.479
> 266                                                          
>        49.61456
   Feminism  |   17.26061   11.74801     1.47   0.142    -5.771
> 581                                                          
>         40.2928
     Unions  |   12.74906   11.67299     1.09   0.275    -10.13
> 604                                                          
>        35.63416
             |
    1.vote_3 |   59.57012    24.6247     2.42   0.016     11.29
> 294                                                          
>        107.8473
             |
treat#vote_3 |
   Franco#1  |  -51.34323   35.94814    -1.43   0.153    -121.8
> 202                                                          
>        19.13375
  Catalan#1  |  -57.92288   33.37146    -1.74   0.083    -123.3
> 482                                                          
>        7.502483
Immigration #|
          1  |  -105.7428    33.3038    -3.18   0.002    -171.0
> 356                                                          
>       -40.45013
 Feminism#1  |  -78.90488   34.18685    -2.31   0.021    -145.9
> 288                                                          
>       -11.88095
   Unions#1  |  -60.06769   34.72314    -1.73   0.084     -128.
> 143                                                          
>        8.007655
             |
       birth |   .0065503   .0042214     1.55   0.121    -.0017
> 258                                                          
>        .0148264
             |
       treat#|
     c.birth |
     Franco  |  -.0031935   .0059213    -0.54   0.590    -.0148
> 024                                                          
>        .0084153
    Catalan  |   .0064854   .0061153     1.06   0.289    -.0055
> 037                                                          
>        .0184746
Immigration  |  -.0133742   .0058343    -2.29   0.022    -.0248
> 124                                                          
>        -.001936
   Feminism  |  -.0087047   .0059548    -1.46   0.144    -.0203
> 791                                                          
>        .0029698
     Unions  |  -.0066959    .005917    -1.13   0.258    -.0182
> 963                                                          
>        .0049045
             |
      vote_3#|
     c.birth |
          1  |  -.0306101   .0124757    -2.45   0.014    -.0550
> 689                                                          
>       -.0061512
             |
       treat#|
      vote_3#|
     c.birth |
   Franco#1  |    .027621   .0182189     1.52   0.130    -.0080
> 976                                                          
>        .0633395
  Catalan#1  |   .0289939   .0169046     1.72   0.086    -.0041
> 479                                                          
>        .0621357
Immigration #|
          1  |   .0526203   .0168661     3.12   0.002      .019
> 554                                                          
>        .0856865
 Feminism#1  |    .039032   .0173181     2.25   0.024     .0050
> 795                                                          
>        .0729844
   Unions#1  |   .0296792   .0175958     1.69   0.092    -.0048
> 177                                                          
>        .0641762
             |
      polint |   .3607904   .0338298    10.66   0.000     .2944
> 663                                                          
>        .4271144
       _cons |  -10.20266   8.329503    -1.22   0.221     -26.5
> 328                                                          
>         6.12748
---------------------------------------------------------------
> ---------------

. 
. margins,  at(treat= 1  birth=(1945(1)2000) vote_3 =(0(1)1))  

Predictive margins                                       Number
>  of obs                                                      
>         = 4,307
Model VCE: OLS

Expression: Linear prediction, predict()
1._at:   treat  =    1
         vote_3 =    0
         birth  = 1945
2._at:   treat  =    1
         vote_3 =    0
         birth  = 1946
3._at:   treat  =    1
         vote_3 =    0
         birth  = 1947
4._at:   treat  =    1
         vote_3 =    0
         birth  = 1948
5._at:   treat  =    1
         vote_3 =    0
         birth  = 1949
6._at:   treat  =    1
         vote_3 =    0
         birth  = 1950
7._at:   treat  =    1
         vote_3 =    0
         birth  = 1951
8._at:   treat  =    1
         vote_3 =    0
         birth  = 1952
9._at:   treat  =    1
         vote_3 =    0
         birth  = 1953
10._at:  treat  =    1
         vote_3 =    0
         birth  = 1954
11._at:  treat  =    1
         vote_3 =    0
         birth  = 1955
12._at:  treat  =    1
         vote_3 =    0
         birth  = 1956
13._at:  treat  =    1
         vote_3 =    0
         birth  = 1957
14._at:  treat  =    1
         vote_3 =    0
         birth  = 1958
15._at:  treat  =    1
         vote_3 =    0
         birth  = 1959
16._at:  treat  =    1
         vote_3 =    0
         birth  = 1960
17._at:  treat  =    1
         vote_3 =    0
         birth  = 1961
18._at:  treat  =    1
         vote_3 =    0
         birth  = 1962
19._at:  treat  =    1
         vote_3 =    0
         birth  = 1963
20._at:  treat  =    1
         vote_3 =    0
         birth  = 1964
21._at:  treat  =    1
         vote_3 =    0
         birth  = 1965
22._at:  treat  =    1
         vote_3 =    0
         birth  = 1966
23._at:  treat  =    1
         vote_3 =    0
         birth  = 1967
24._at:  treat  =    1
         vote_3 =    0
         birth  = 1968
25._at:  treat  =    1
         vote_3 =    0
         birth  = 1969
26._at:  treat  =    1
         vote_3 =    0
         birth  = 1970
27._at:  treat  =    1
         vote_3 =    0
         birth  = 1971
28._at:  treat  =    1
         vote_3 =    0
         birth  = 1972
29._at:  treat  =    1
         vote_3 =    0
         birth  = 1973
30._at:  treat  =    1
         vote_3 =    0
         birth  = 1974
31._at:  treat  =    1
         vote_3 =    0
         birth  = 1975
32._at:  treat  =    1
         vote_3 =    0
         birth  = 1976
33._at:  treat  =    1
         vote_3 =    0
         birth  = 1977
34._at:  treat  =    1
         vote_3 =    0
         birth  = 1978
35._at:  treat  =    1
         vote_3 =    0
         birth  = 1979
36._at:  treat  =    1
         vote_3 =    0
         birth  = 1980
37._at:  treat  =    1
         vote_3 =    0
         birth  = 1981
38._at:  treat  =    1
         vote_3 =    0
         birth  = 1982
39._at:  treat  =    1
         vote_3 =    0
         birth  = 1983
40._at:  treat  =    1
         vote_3 =    0
         birth  = 1984
41._at:  treat  =    1
         vote_3 =    0
         birth  = 1985
42._at:  treat  =    1
         vote_3 =    0
         birth  = 1986
43._at:  treat  =    1
         vote_3 =    0
         birth  = 1987
44._at:  treat  =    1
         vote_3 =    0
         birth  = 1988
45._at:  treat  =    1
         vote_3 =    0
         birth  = 1989
46._at:  treat  =    1
         vote_3 =    0
         birth  = 1990
47._at:  treat  =    1
         vote_3 =    0
         birth  = 1991
48._at:  treat  =    1
         vote_3 =    0
         birth  = 1992
49._at:  treat  =    1
         vote_3 =    0
         birth  = 1993
50._at:  treat  =    1
         vote_3 =    0
         birth  = 1994
51._at:  treat  =    1
         vote_3 =    0
         birth  = 1995
52._at:  treat  =    1
         vote_3 =    0
         birth  = 1996
53._at:  treat  =    1
         vote_3 =    0
         birth  = 1997
54._at:  treat  =    1
         vote_3 =    0
         birth  = 1998
55._at:  treat  =    1
         vote_3 =    0
         birth  = 1999
56._at:  treat  =    1
         vote_3 =    0
         birth  = 2000
57._at:  treat  =    1
         vote_3 =    1
         birth  = 1945
58._at:  treat  =    1
         vote_3 =    1
         birth  = 1946
59._at:  treat  =    1
         vote_3 =    1
         birth  = 1947
60._at:  treat  =    1
         vote_3 =    1
         birth  = 1948
61._at:  treat  =    1
         vote_3 =    1
         birth  = 1949
62._at:  treat  =    1
         vote_3 =    1
         birth  = 1950
63._at:  treat  =    1
         vote_3 =    1
         birth  = 1951
64._at:  treat  =    1
         vote_3 =    1
         birth  = 1952
65._at:  treat  =    1
         vote_3 =    1
         birth  = 1953
66._at:  treat  =    1
         vote_3 =    1
         birth  = 1954
67._at:  treat  =    1
         vote_3 =    1
         birth  = 1955
68._at:  treat  =    1
         vote_3 =    1
         birth  = 1956
69._at:  treat  =    1
         vote_3 =    1
         birth  = 1957
70._at:  treat  =    1
         vote_3 =    1
         birth  = 1958
71._at:  treat  =    1
         vote_3 =    1
         birth  = 1959
72._at:  treat  =    1
         vote_3 =    1
         birth  = 1960
73._at:  treat  =    1
         vote_3 =    1
         birth  = 1961
74._at:  treat  =    1
         vote_3 =    1
         birth  = 1962
75._at:  treat  =    1
         vote_3 =    1
         birth  = 1963
76._at:  treat  =    1
         vote_3 =    1
         birth  = 1964
77._at:  treat  =    1
         vote_3 =    1
         birth  = 1965
78._at:  treat  =    1
         vote_3 =    1
         birth  = 1966
79._at:  treat  =    1
         vote_3 =    1
         birth  = 1967
80._at:  treat  =    1
         vote_3 =    1
         birth  = 1968
81._at:  treat  =    1
         vote_3 =    1
         birth  = 1969
82._at:  treat  =    1
         vote_3 =    1
         birth  = 1970
83._at:  treat  =    1
         vote_3 =    1
         birth  = 1971
84._at:  treat  =    1
         vote_3 =    1
         birth  = 1972
85._at:  treat  =    1
         vote_3 =    1
         birth  = 1973
86._at:  treat  =    1
         vote_3 =    1
         birth  = 1974
87._at:  treat  =    1
         vote_3 =    1
         birth  = 1975
88._at:  treat  =    1
         vote_3 =    1
         birth  = 1976
89._at:  treat  =    1
         vote_3 =    1
         birth  = 1977
90._at:  treat  =    1
         vote_3 =    1
         birth  = 1978
91._at:  treat  =    1
         vote_3 =    1
         birth  = 1979
92._at:  treat  =    1
         vote_3 =    1
         birth  = 1980
93._at:  treat  =    1
         vote_3 =    1
         birth  = 1981
94._at:  treat  =    1
         vote_3 =    1
         birth  = 1982
95._at:  treat  =    1
         vote_3 =    1
         birth  = 1983
96._at:  treat  =    1
         vote_3 =    1
         birth  = 1984
97._at:  treat  =    1
         vote_3 =    1
         birth  = 1985
98._at:  treat  =    1
         vote_3 =    1
         birth  = 1986
99._at:  treat  =    1
         vote_3 =    1
         birth  = 1987
100._at: treat  =    1
         vote_3 =    1
         birth  = 1988
101._at: treat  =    1
         vote_3 =    1
         birth  = 1989
102._at: treat  =    1
         vote_3 =    1
         birth  = 1990
103._at: treat  =    1
         vote_3 =    1
         birth  = 1991
104._at: treat  =    1
         vote_3 =    1
         birth  = 1992
105._at: treat  =    1
         vote_3 =    1
         birth  = 1993
106._at: treat  =    1
         vote_3 =    1
         birth  = 1994
107._at: treat  =    1
         vote_3 =    1
         birth  = 1995
108._at: treat  =    1
         vote_3 =    1
         birth  = 1996
109._at: treat  =    1
         vote_3 =    1
         birth  = 1997
110._at: treat  =    1
         vote_3 =    1
         birth  = 1998
111._at: treat  =    1
         vote_3 =    1
         birth  = 1999
112._at: treat  =    1
         vote_3 =    1
         birth  = 2000

---------------------------------------------------------------
> ---------------
             |            Delta-method
             |     Margin   std. err.      t    P>|t|     [95% 
> con                                                          
>    f. interval]
-------------+-------------------------------------------------
> ---------------
         _at |
          1  |   1.288512   .1348599     9.55   0.000     1.024
> 117                                                          
>        1.552907
          2  |   1.291869   .1312604     9.84   0.000      1.03
> 453                                                          
>        1.549207
          3  |   1.295225   .1276945    10.14   0.000     1.044
> 878                                                          
>        1.545573
          4  |   1.298582   .1241651    10.46   0.000     1.055
> 154                                                          
>         1.54201
          5  |   1.301939   .1206753    10.79   0.000     1.065
> 353                                                          
>        1.538525
          6  |   1.305296   .1172287    11.13   0.000     1.075
> 467                                                          
>        1.535125
          7  |   1.308653   .1138293    11.50   0.000     1.085
> 488                                                          
>        1.531817
          8  |   1.312009   .1104813    11.88   0.000     1.095
> 409                                                          
>         1.52861
          9  |   1.315366   .1071896    12.27   0.000     1.105
> 219                                                          
>        1.525513
         10  |   1.318723   .1039595    12.68   0.000     1.114
> 909                                                          
>        1.522538
         11  |    1.32208    .100797    13.12   0.000     1.124
> 465                                                          
>        1.519694
         12  |   1.325437   .0977087    13.57   0.000     1.133
> 877                                                          
>        1.516996
         13  |   1.328794   .0947017    14.03   0.000     1.143
> 129                                                          
>        1.514458
         14  |    1.33215   .0917841    14.51   0.000     1.152
> 206                                                          
>        1.512095
         15  |   1.335507   .0889647    15.01   0.000      1.16
> 109                                                          
>        1.509924
         16  |   1.338864   .0862531    15.52   0.000     1.169
> 763                                                          
>        1.507965
         17  |   1.342221   .0836598    16.04   0.000     1.178
> 204                                                          
>        1.506237
         18  |   1.345578   .0811961    16.57   0.000     1.186
> 391                                                          
>        1.504764
         19  |   1.348934   .0788741    17.10   0.000       1.1
> 943                                                          
>        1.503569
         20  |   1.352291   .0767068    17.63   0.000     1.201
> 906                                                          
>        1.502676
         21  |   1.355648   .0747076    18.15   0.000     1.209
> 182                                                          
>        1.502114
         22  |   1.359005   .0728904    18.64   0.000     1.216
> 102                                                          
>        1.501908
         23  |   1.362362    .071269    19.12   0.000     1.222
> 638                                                          
>        1.502086
         24  |   1.365718    .069857    19.55   0.000     1.228
> 762                                                          
>        1.502674
         25  |   1.369075   .0686676    19.94   0.000     1.234
> 451                                                          
>        1.503699
         26  |   1.372432   .0677122    20.27   0.000     1.239
> 681                                                          
>        1.505183
         27  |   1.375789    .067001    20.53   0.000     1.244
> 432                                                          
>        1.507146
         28  |   1.379146   .0665418    20.73   0.000     1.248
> 689                                                          
>        1.509602
         29  |   1.382503   .0663398    20.84   0.000     1.252
> 442                                                          
>        1.512563
         30  |   1.385859   .0663974    20.87   0.000     1.255
> 686                                                          
>        1.516033
         31  |   1.389216   .0667139    20.82   0.000     1.258
> 422                                                          
>         1.52001
         32  |   1.392573   .0672856    20.70   0.000     1.260
> 658                                                          
>        1.524488
         33  |    1.39593   .0681061    20.50   0.000     1.262
> 407                                                          
>        1.529453
         34  |   1.399287   .0691666    20.23   0.000     1.263
> 684                                                          
>        1.534889
         35  |   1.402643   .0704562    19.91   0.000     1.264
> 513                                                          
>        1.540774
         36  |      1.406   .0719626    19.54   0.000     1.264
> 916                                                          
>        1.547084
         37  |   1.409357   .0736726    19.13   0.000     1.264
> 921                                                          
>        1.553793
         38  |   1.412714   .0755722    18.69   0.000     1.264
> 553                                                          
>        1.560874
         39  |   1.416071   .0776476    18.24   0.000     1.263
> 841                                                          
>          1.5683
         40  |   1.419427   .0798851    17.77   0.000     1.262
> 811                                                          
>        1.576044
         41  |   1.422784   .0822714    17.29   0.000      1.26
> 149                                                          
>        1.584079
         42  |   1.426141    .084794    16.82   0.000     1.259
> 901                                                          
>        1.592381
         43  |   1.429498   .0874411    16.35   0.000     1.258
> 068                                                          
>        1.600928
         44  |   1.432855   .0902018    15.88   0.000     1.256
> 013                                                          
>        1.609697
         45  |   1.436212   .0930658    15.43   0.000     1.253
> 754                                                          
>        1.618669
         46  |   1.439568   .0960241    14.99   0.000     1.251
> 311                                                          
>        1.627825
         47  |   1.442925   .0990681    14.56   0.000       1.2
> 487                                                          
>         1.63715
         48  |   1.446282   .1021901    14.15   0.000     1.245
> 936                                                          
>        1.646628
         49  |   1.449639   .1053833    13.76   0.000     1.243
> 033                                                          
>        1.656245
         50  |   1.452996   .1086414    13.37   0.000     1.240
> 002                                                          
>        1.665989
         51  |   1.456352   .1119587    13.01   0.000     1.236
> 855                                                          
>        1.675849
         52  |   1.459709   .1153301    12.66   0.000     1.233
> 603                                                          
>        1.685816
         53  |   1.463066   .1187509    12.32   0.000     1.230
> 253                                                          
>        1.695879
         54  |   1.466423   .1222171    12.00   0.000     1.226
> 814                                                          
>        1.706032
         55  |    1.46978   .1257249    11.69   0.000     1.223
> 294                                                          
>        1.716266
         56  |   1.473136   .1292709    11.40   0.000     1.219
> 699                                                          
>        1.726574
         57  |    3.70159   .3854857     9.60   0.000     2.945
> 838                                                          
>        4.457342
         58  |   3.701958   .3742211     9.89   0.000     2.968
> 291                                                          
>        4.435625
         59  |   3.702326   .3630453    10.20   0.000     2.990
> 569                                                          
>        4.414082
         60  |   3.702693   .3519668    10.52   0.000     3.012
> 656                                                          
>        4.392731
         61  |   3.703061    .340995    10.86   0.000     3.034
> 534                                                          
>        4.371588
         62  |   3.703429   .3301407    11.22   0.000     3.056
> 182                                                          
>        4.350676
         63  |   3.703796   .3194158    11.60   0.000     3.077
> 576                                                          
>        4.330017
         64  |   3.704164   .3088338    11.99   0.000      3.09
> 869                                                          
>        4.309638
         65  |   3.704532   .2984098    12.41   0.000     3.119
> 494                                                          
>         4.28957
         66  |     3.7049   .2881611    12.86   0.000     3.139
> 955                                                          
>        4.269845
         67  |   3.705267   .2781069    13.32   0.000     3.160
> 034                                                          
>        4.250501
         68  |   3.705635   .2682693    13.81   0.000     3.179
> 688                                                          
>        4.231582
         69  |   3.706003   .2586728    14.33   0.000      3.19
> 887                                                          
>        4.213135
         70  |    3.70637   .2493454    14.86   0.000     3.217
> 524                                                          
>        4.195217
         71  |   3.706738   .2403184    15.42   0.000      3.23
> 559                                                          
>        4.177887
         72  |   3.707106   .2316268    16.00   0.000     3.252
> 997                                                          
>        4.161214
         73  |   3.707473   .2233099    16.60   0.000      3.26
> 967                                                          
>        4.145277
         74  |   3.707841    .215411    17.21   0.000     3.285
> 524                                                          
>        4.130158
         75  |   3.708209   .2079779    17.83   0.000     3.300
> 464                                                          
>        4.115953
         76  |   3.708577   .2010621    18.44   0.000     3.314
> 391                                                          
>        4.102763
         77  |   3.708944   .1947188    19.05   0.000     3.327
> 195                                                          
>        4.090694
         78  |   3.709312   .1890056    19.63   0.000     3.338
> 763                                                          
>        4.079861
         79  |    3.70968   .1839813    20.16   0.000     3.348
> 981                                                          
>        4.070378
         80  |   3.710047   .1797037    20.65   0.000     3.357
> 735                                                          
>         4.06236
         81  |   3.710415    .176227    21.05   0.000     3.364
> 919                                                          
>        4.055911
         82  |   3.710783   .1735995    21.38   0.000     3.370
> 438                                                          
>        4.051128
         83  |   3.711151   .1718601    21.59   0.000     3.374
> 216                                                          
>        4.048085
         84  |   3.711518   .1710359    21.70   0.000     3.376
> 199                                                          
>        4.046837
         85  |   3.711886   .1711401    21.69   0.000     3.376
> 363                                                          
>        4.047409
         86  |   3.712254   .1721711    21.56   0.000     3.374
> 709                                                          
>        4.049798
         87  |   3.712621   .1741123    21.32   0.000     3.371
> 271                                                          
>        4.053972
         88  |   3.712989   .1769339    20.99   0.000     3.366
> 107                                                          
>        4.059871
         89  |   3.713357   .1805945    20.56   0.000     3.359
> 298                                                          
>        4.067416
         90  |   3.713725   .1850444    20.07   0.000     3.350
> 942                                                          
>        4.076507
         91  |   3.714092   .1902282    19.52   0.000     3.341
> 146                                                          
>        4.087038
         92  |    3.71446   .1960876    18.94   0.000     3.330
> 027                                                          
>        4.098893
         93  |   3.714828   .2025642    18.34   0.000     3.317
> 697                                                          
>        4.111958
         94  |   3.715195   .2096006    17.73   0.000      3.30
> 427                                                          
>        4.126121
         95  |   3.715563   .2171424    17.11   0.000     3.289
> 851                                                          
>        4.141275
         96  |   3.715931    .225139    16.51   0.000     3.274
> 542                                                          
>         4.15732
         97  |   3.716298   .2335435    15.91   0.000     3.258
> 432                                                          
>        4.174165
         98  |   3.716666   .2423135    15.34   0.000     3.241
> 606                                                          
>        4.191726
         99  |   3.717034   .2514108    14.78   0.000     3.224
> 139                                                          
>        4.209929
        100  |   3.717402   .2608011    14.25   0.000     3.206
> 096                                                          
>        4.228707
        101  |   3.717769   .2704539    13.75   0.000      3.18
> 754                                                          
>        4.247999
        102  |   3.718137   .2803421    13.26   0.000     3.168
> 521                                                          
>        4.267753
        103  |   3.718505   .2904416    12.80   0.000     3.149
> 089                                                          
>        4.287921
        104  |   3.718872   .3007312    12.37   0.000     3.129
> 283                                                          
>        4.308461
        105  |    3.71924    .311192    11.95   0.000     3.109
> 143                                                          
>        4.329338
        106  |   3.719608   .3218073    11.56   0.000     3.088
> 699                                                          
>        4.350517
        107  |   3.719976   .3325624    11.19   0.000     3.067
> 981                                                          
>         4.37197
        108  |   3.720343    .343444    10.83   0.000     3.047
> 015                                                          
>        4.393671
        109  |   3.720711   .3544405    10.50   0.000     3.025
> 824                                                          
>        4.415598
        110  |   3.721079   .3655416    10.18   0.000     3.004
> 428                                                          
>         4.43773
        111  |   3.721446   .3767381     9.88   0.000     2.982
> 845                                                          
>        4.460048
        112  |   3.721814   .3880216     9.59   0.000     2.961
> 091                                                          
>        4.482537
---------------------------------------------------------------
> ---------------

. marginsplot, ///
> yline(3.5) xtitle("Birth year", size(medlarge)) ylabel(1(1)6,
>  labsize(medium)) xlabel(1945(5)2000, labsize(medium) angle(4
> 5)) ytitle(Predicted support for Franco Foundation, size(medl
> arge)) recastci(rspike) recast(scatter)  legend(lab(3 "Non-VO
> X voters") lab(4 "VOX voters") size(medlarge) order(3 4 ) row
> (1) region(lcolor(white)) pos(2) ring(0)) title(" ")

Variables that uniquely identify margins: birth vote_3

. graph save  "${graphs}Figure3_Margins_Voxvote_pred_coh_cont.g
> ph",  replace
file /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project_
> Populism/Vox/Analysis/Replication/graphs/Figure3_Margins_Voxv
> ote_pred_coh_cont.gph saved

. graph export  "${graphs}Figure3_Margins_Voxvote_pred_coh_cont
> .pdf", as(pdf) replace
file
    /Users/anja.neundorf/Library/CloudStorage/Dropbox/Project
    > _Populism/Vox/Analysis/Replication/graphs/Figure3_Margi
    > ns_Voxvote_pred_coh_cont.pdf saved as PDF format

. 
. log close
      name:  <unnamed>
       log:  /Users/anja.neundorf/Library/CloudStorage/Dropbox/
> Project_Populism/Vox/Analysis/Replication/Main analyses.log
  log type:  text
 closed on:  21 Mar 2024, 14:59:48
---------------------------------------------------------------
